钣金零件的特征建模研究

提出了一个基于特征的钣金零件模型,并运用面向对象技术来表达特征,同时利用ＡｕｔｏＣＡＤ的扩展实体数据,将特征嵌入到ＡｕｔｏＣＡＤ的图形数据库中,有效地解决了钣金零件的特征建模问题。     

导弹发射的可视化仿真

基于三维建模工具建立导弹发射平台等视景模型,通过VC 编程,从相应的模型数据库中选择不同型号的导弹武器系统、射击目标、地理环境、天气状况等,从而实现计算机模拟导弹发射的可视化仿真。     

A Novel Dual Pointer Approach for Entity Mention Extraction

The named entity extraction task aims to extract entity mentions from the unstructured text, including names of people, places, institutions and so on. It plays an important role in many Natural language processing (NLP) tasks, such as knowledge bases construction, automatic question answering system and information extraction. Most of the existing entity extraction studies are based on the long text data, which are easier to annotate due to the sufficient contextual information. Extracting entities from short texts such as search queries, conversations is still a challenging task. This paper proposes a dual pointer approach for entity mention extraction, it extracts one entities by two position pointers of the input sentence. The end-to-end deep neural networks model based on the proposed approach can extract the entities by serially generating the dual pointers. The evaluation results on the Chinese public dataset show that the model achieves the state-of-the-art results over the baseline models.     

稠密向量实体检索模型的二值化提速压缩

在实体检索任务中，为了从大规模实体库中高效筛选与查询相关的候选实体，可使用稠密向量检索模型.然而在现有的稠密向量检索模型中，由于实体向量维度较高，导致实时计算效率较低、存储空间较大.文中通过实验发现这些实体向量存在大量的冗余信息：一方面，绝大多数实体向量分布在互不相同的象限里；另一方面，语义相近的实体所在的象限也更近.因此，文中提出二值化的实体检索方法，用于压缩实体向量，加速相似度计算.具体而言，方法利用符号函数(sign),二值化压缩高维稠密的浮点向量，并通过汉明距离加快检索.从理论上分析文中方法保证检索性能的原因.通过定性、定量的分析实验验证理论的正确性，并给出基于随机升维旋转的二值检索性能改善方法.